scholarly journals Comparative Investigation on Tool Wear during End Milling of AISI H13 Steel with Different Tool Path Strategies

2018 ◽  
Vol 343 ◽  
pp. 012020 ◽  
Author(s):  
Erry Yulian T Adesta ◽  
Muhammad Riza ◽  
Avicena
Keyword(s):  
Tool Wear ◽  
Tool Path ◽  
End Milling ◽  
Comparative Investigation ◽  
H13 Steel ◽  
Aisi H13 Steel ◽  
Aisi H13

scholarly journals Content Comparative Investigation on Tool Wear During End Milling of AISI H13 Steel with Different Tool Path Strategies

2017 ◽  
Vol 6 (4) ◽  
pp. 327-333
Author(s):  
Erry Yulian T. Adesta ◽  
Muhammad Riza ◽  
Avicenna Avicenna
Keyword(s):  
Tool Wear ◽  
Experimental Work ◽  
Tool Path ◽  
End Milling ◽  
Cutting Speed ◽  
Comparative Investigation ◽  
Depth Of Cut ◽  
Machining Parameters ◽  
H13 Steel ◽  
Coated Carbide

Tool wear prediction plays a significant role in machining industry for proper planning and control machining parameters and optimization of cutting conditions. This paper aims to investigate the effect of tool path strategies that are contour-in and zigzag tool path strategies applied on tool wear during pocket milling process. The experiments were carried out on CNC vertical machining centre by involving PVD coated carbide inserts. Cutting speed, feed rate and depth of cut were set to vary. In an experiment with three factors at three levels, Response Surface Method (RSM) design of experiment with a standard called Central Composite Design (CCD) was employed. Results obtained indicate that tool wear increases significantly at higher range of feed per tooth compared to cutting speed and depth of cut. This result of this experimental work is then proven statistically by developing empirical model. The prediction model for the response variable of tool wear for contour-in strategy developed in this research shows a good agreement with experimental work.

Effect Analysis and ANN Prediction of Surface Roughness in End Milling AISI H13 Steel

2014 ◽  
Vol 800-801 ◽  
pp. 590-595
Author(s):  
Qing Zhang ◽  
Song Zhang ◽  
Jia Man ◽  
Bin Zhao
Keyword(s):  
Surface Roughness ◽  
End Milling ◽  
Cutting Speed ◽  
Cutting Parameters ◽  
Experimental Results ◽  
Depth Of Cut ◽  
H13 Steel ◽  
Aisi H13 Steel ◽  
Radial Depth ◽  
Aisi H13

Surface roughness has a significant effect on the performance of machined components. In the present study, a total of 49 end milling experiments on AISI H13 steel are conducted. Based on the experimental results, the signal-to-noise (S/N) ratio is employed to study the effects of cutting parameters (axial depth of cut, cutting speed, feed per tooth and radial depth of cut) on surface roughness. An ANN predicting model for surface roughness versus cutting parameters is developed based on the experimental results. The testing results show that the proposed model can be used as a satisfactory prediction for surface roughness.

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